Paperspace Pricing (2026)

It's a two-part meter: a flat monthly subscription ($0/$8/$39) that buys you platform access and storage tiers, then compute gets billed separately per hour based on whatever GPU or CPU instance you're actually running. So the sticker price is basically the cover charge — the real spend shows up once you start spinning up machines.

Free
$0/mo
Pro Popular
$8/mo
Growth
$39/mo
Verified Aug 23, 2026 Official pricing page
Screenshot of Paperspace's pricing page showing its plans and prices
Their pricing page, captured Aug 23, 2026

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Free

$0/mo
  • Public projects
  • Auto-shutdown (12 hour limit)
  • 5GB storage
  • Basic instances

Pro

Popular
$8/mo
  • Private projects
  • 15GB storage
  • Auto-shutdown (configurable)
  • Mid-range instances
  • Faster free GPUs 🚀 (based on availability)

Growth

$39/mo
  • Private projects
  • 50GB storage
  • Auto-shutdown (configurable)
  • High-end instances
  • Expert Support

Does Paperspace have a free plan?

Yes: the Free plan is free forever, not a time-limited trial. When you outgrow it, paid plans start at $8/mo.

What the free plan includes

  • Public projects
  • Auto-shutdown (12 hour limit)
  • 5GB storage
  • Basic instances

AI Pricing Analysis

Pricing Model

It's a two-part meter: a flat monthly subscription ($0/$8/$39) that buys you platform access and storage tiers, then compute gets billed separately per hour based on whatever GPU or CPU instance you're actually running. So the sticker price is basically the cover charge — the real spend shows up once you start spinning up machines.

Tier Strategy

Free is for tinkerers poking at notebooks with limited storage and no persistent volumes. Pro at $8 is the solo builder who needs more storage and better instance access without committing to real budget. Growth at $39 is for people running heavier workloads or small teams who need higher storage caps, more concurrent machines, and priority access to GPUs — the jump usually happens when someone hits a storage wall or gets tired of queuing for compute.

Competitive Positioning

On subscription price alone, Paperspace looks cheap compared to enterprise ML platforms — but that's a bit of a mirage since compute is unbundled and billed hourly, which is where the category actually competes. They're positioned to win indie developers and small teams who want cloud GPUs without the AWS/GCP procurement headache, not enterprises who'll get funneled to the separate Team tiers.

Growth Lever

Storage limits and instance availability are the real paywall — free and Pro users get capped storage and have to wait or settle for lower-tier GPUs, while Growth unlocks bigger allocations and smoother access to better hardware. The actual expansion revenue, though, comes from compute utilization racking up as usage grows, not from the subscription tier itself.

Want the strategist's read on the live page? Read the AI teardown of Paperspace's pricing page →

Paperspace Pricing FAQ

How much does Paperspace cost?
Paid plans start at $8/mo, going up to $39/mo for larger teams. You can get started on the free plan before committing.
Is there a free plan?
Yes. The "Free" plan is free forever, not just a trial. You get public projects, auto-shutdown (12 hour limit), 5gb storage — plus 1 more features. It's enough to evaluate the product before upgrading.
Can I try it before paying?
There's no trial per se, but the free plan lets you use the product indefinitely with some limits.
How does the pricing work?
It's a two-part meter: a flat monthly subscription ($0/$8/$39) that buys you platform access and storage tiers, then compute gets billed separately per hour based on whatever GPU or CPU instance you're actually running. So the sticker price is basically the cover charge — the real spend shows up once you start spinning up machines.
Which plan makes sense for me?
Free is for tinkerers poking at notebooks with limited storage and no persistent volumes. Pro at $8 is the solo builder who needs more storage and better instance access without committing to real budget. Growth at $39 is for people running heavier workloads or small teams who need higher storage caps, more concurrent machines, and priority access to GPUs — the jump usually happens when someone hits a storage wall or gets tired of queuing for compute.

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